Performance Optimization of Lithium-ion Batteries for Electric Vehicles Through Computational Fluid Dynamics and Deep Learning Algorithm

A new report from researchers at Wuxi Institute of Technology in Wuxi, People's Republic of China, details a performance optimization method for lithium-ion batteries in electric vehicles. The novel approach combines Computational Fluid Dynamics (CFD) numerical simulation with a deep learning algorithm to improve the endurance mileage and energy status of these batteries. The research, supported by various Chinese institutions, presents promising results in predicting the state of charge, state of health, and state of energy of lithium-ion batteries.

Key Takeaways:

• The researchers proposed a performance optimization method that integrates CFD numerical simulation with a deep learning algorithm to improve lithium-ion battery endurance mileage and energy status.
• The method was tested and shown to be effective in predicting the state of charge, state of health, and state of energy of lithium-ion batteries with an average relative error of 0.087%, 0.083%, and 0.026%, respectively.
• The addition of CFD simulation data made the prediction model more applicable and accurate.
• The Artificial Bee Colony (ABC) algorithm was employed to optimize operating parameters, resulting in an average optimization amount of SOC, SOH, and SOE of 2.39%, 3.87%, and 2.47%, respectively.
• The research concluded that the proposed method can improve the performance and efficiency of lithium-ion batteries in electric vehicles.
• The research supports the development of more efficient and sustainable electric vehicles, reducing greenhouse gas emissions and dependence on fossil fuels.

Statistics:

• Average relative error of the novel algorithm model for state of charge, state of health, and state of energy predictions: 0.087%, 0.083%, and 0.026%, respectively.
• Optimization amount of SOC, SOH, and SOE through ABC algorithm: 2.39%, 3.87%, and 2.47%, respectively.

Sources:

• Performance Optimization of Lithium-ion Battery Based On Cfd Numerical Simulation and Deep Learning Algorithm. Journal of Energy Storage, 2025;127.
• NewsRx. New Energy Storage Study Findings Have Been Reported by Researchers at Wuxi Institute of Technology (Performance Optimization of Lithium-ion Battery Based On Cfd Numerical Simulation and Deep Learning Algorithm). Energy Weekly News. August 22, 2025; p 229.
• Natural Science Foundation of the Jiangsu Higher Education Institute of China
• Natural Science Research Project of Wuxi Institute of Technology
• Research and Innovation Team Building Project of Wuxi Institute of Technology
• Scientific and Technological Breakthrough of TaihuLight (basic research)